Name: PySpark & Python: Hands-On Guide to Data Processing
Brand: EDUCBA
Availability: OnlineOnly
Rating: 4.6 (29 reviews)

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Learner Reviews & Feedback for PySpark & Python: Hands-On Guide to Data Processing by EDUCBA

4.6

stars

33 ratings

About the Course

This beginner-level course is designed to introduce learners to the powerful combination of Python and Apache Spark (PySpark) for distributed data processing and analysis. Through structured lessons and real-world examples, learners will recall foundational Python syntax, identify key elements of PySpark, and demonstrate the use of core Spark transformations and actions using Resilient Distributed Datasets (RDDs). As the course progresses, learners will apply advanced data handling techniques such as joins and data integration using JDBC with MySQL, and construct scalable data pipelines like word count using transformation chains. Each module emphasizes a blend of conceptual understanding and practical coding experience, enabling learners to analyze, debug, and evaluate their PySpark applications efficiently. By the end of the course, learners will have gained hands-on proficiency in building distributed data workflows and be prepared to advance toward more complex data engineering and big data analytics challenges....

Top reviews

Nov 5, 2025

This course turned my confusion about PySpark into complete understanding. A great investment for data professionals!

Oct 20, 2025

I’ve taken many courses before, but this one stands out for its practical approach to PySpark. Real examples made all the difference. Highly recommended for professionals.

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